[news, publication] Jenelle Feather et al research in the Josh McDermott Lab. Study: Deep neural networks don’t see the world the way we do. Images that humans perceive as completely unrelated can be classified as the same by computational models. cbmm.mit.edu/news-events/ne…

#MITTeachMeSomething How do we tell where a sound is coming from? Sagarika Alavilli, PhD Student, Speech & Hearing, Bioscience and Technology, Harvard University Want to learn more? teachmesomething.mit.edu/tms/how-do-we-… #MIT #neuroscience #AI #brain #audition #hearing #soundlocalization

[news] New technique helps robots pack objects into a tight space. Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems. From CBMM's Josh Tenenbaum, Leslie Kaelbling, et al. cbmm.mit.edu/news-events/ne…

[video] "Building and Training Deep Learning Models in PyTorch" BCS Computational Tutorial Series with Valmiki Kothare, MIT. In this tutorial, we will use deep learning on EEG and EMG mice data to predict sleep stages (Wakefulness, REM, Non-REM)... cbmm.mit.edu/video/building…

[publication] "Perception of 3D shape integrates intuitive physics and analysis-by-synthesis" Research from CoCoSci MIT studying intuitive physics to explain how shape can be inferred from the deformations it causes to other objects, as in cloth draping. cbmm.mit.edu/publications/p…

[video] "Statistical learning in human sensorimotor control" Daniel Wolpert, Columbia University Humans spend a lifetime learning, storing and refining a repertoire of motor memories appropriate for the multitude of tasks we perform... cbmm.mit.edu/video/statisti…

#MITTeachMeSomething How can looking at a heart's electrical signals save lives? Taylor Baum, PhD Candidate, Electrical Engineering and Computer Science, MIT Want to learn more? teachmesomething.mit.edu/tms/how-can-lo… #MIT #neuroscience #surgery #heart #electricalsignals #arrhythmia #ablation

#MITTeachMeSomething How can we study signals from the human brain? Dimitrios Pantazis, Principal Research Scientist, MIT McGovern Center for Brain Research Want to learn more? teachmesomething.mit.edu #MIT #neuroscience #MEG #Magnetoencephalography #magnets #brain #signals

#MITTeachMeSomething How many layers does the cerebral cortex have? Diego Mendoza-Halliday, Research Scientist, McGovern Institute for Brain Research, MIT Want to learn more? teachmesomething.mit.edu #MIT #TeachMeSomething #neuroscience #cortex #cerebralcortex #brain #layers

#MITTeachMeSomething When was anesthesia first used? Francisco J. Flores, PhD Instructor in Anaesthesia - Mass General Brigham & Harvard Medical School, Researcher - MIT Picower Institute, CBMM Want to learn more? teachmesomething.mit.edu/tms/when-was-a… #MIT #neuroscience #surgery #anesthesiology

Il programma del #FIE24 è ora disponibile! 👉 Scoprilo sul sito: festivalinternazionaledelleconomia.com/programma/ Vi aspettiamo a #Torino dal 30 maggio al 2 giugno 2024 - Chi possiede la #Conoscenza - Editori Laterza Collegio Carlo Alberto #TOLC Tito Boeri

Exciting news from Oslo! Nancy Kanwisher @[email protected] has received the The Kavli Prize in Neuroscience at a royal ceremony in Norway with her fellow laureates Doris Tsao + Winrich Freiwald. Family and friends were present for the festivities - cheers to all! 🥂

[News] "AI Rules in Two Popular MBL Courses" by David Chandler mbl.edu/news/ai-rules-…

[news] A README for open neuroscience - Making data (and code) useful for yourself automatically makes it useful for others. By Sameul Gershman, Harvard University thetransmitter.org/open-neuroscie…

[announcement] In collaboration with colleagues from DeepMind, MIT, UC Berkeley, and UCL, the Cooperative AI Foundation is excited to present the Concordia Contest as part of NeurIPS 2024. cooperativeai.com/contests/conco…

[video] "Conveying Tasks to Computers: How Machine Learning Can Help" Michael Littman, Brown University cbmm.mit.edu/video/conveyin…

[news] Tomaso Poggio autobiography, produced by NotebookLM cbmm.mit.edu/video/tomaso-p…

[video] "The success of CBMM and the people who made it possible" Over the last 11+ years, the CBMM has become a place of gathering brilliant minds to discuss and solve the challenges and questions of intelligence, organic and artificial. youtu.be/5y8fB0Cy6z8

[video] Aligning deep networks with human vision will require novel neural architectures, data diets and training algorithms Thomas Serre, Brown University cbmm.mit.edu/video/aligning…

[video] "A Theory of Appropriateness with Applications to Generative Artificial Intelligence" Joel Leibo, senior staff research scientist at Google DeepMind and professor at King's College London cbmm.mit.edu/video/theory-a…